Remote MCP servers
43,000 servers you connect by URL over streamable HTTP. Nothing to install or keep running on your machine.
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43,000 servers you connect by URL over streamable HTTP. Nothing to install or keep running on your machine.
A remote MCP server runs on someone else's infrastructure and your client connects to it by URL over streamable HTTP (older servers use SSE). Sign-in usually happens through OAuth in the browser instead of an API key in a config file.
Local servers run as a process on your machine and can reach your files and private network. Remote servers need no runtime and update themselves, but your data goes to the provider. Pick remote for SaaS products, local for files, databases on your network and anything offline.
In Claude Code run claude mcp add --transport http <name> <url>. In Cursor and Gemini CLI add the URL under mcpServers; in VS Code add it under servers with "type": "http". Each server page has the exact config.
Lets an AI agent store, recall, and calibrate persistent memories, search indexed documents, and report outcomes.
$claude mcp add mcp -- npx -y memcell
Lets AI agents save, inspect, correct and forget memories across sessions, keeping a Source Receipt for each one.
$claude mcp add --transport http cairn-memory https://cairn.ink/api/mcp
Provides persistent, governed long-term memory and session continuity for AI agents across different tools and sessions.
$claude mcp add memory-os-cli -- npx -y @xmemo/client
Provides an agent-agnostic memory backend that preserves continuity between humans and AI using streamable HTTP transport.
$claude mcp add marsnme -- npx -y @marsnme/mcp-gateway
Provides persistent, scored memory for AI agents by allowing Claude and other clients to read, write, and manage a shared brain.
$claude mcp add --transport http brain https://mcp.brainmemory.ai/mcp
Provides secure durable memory and bounded context for AI agents through local or hosted knowledge management and hybrid search.
$claude mcp add --transport http graymatter https://api-0.valkyrlabs.com/graymatter/mcp
Provides a private memory layer for AI assistants that stores and recalls information locally on your computer.
$claude mcp add modelbrain-mcp -- npx -y modelbrain-mcp
Provides a persistent, cross-vendor semantic memory store that allows AI clients to read and write facts across different LLM platforms.
$claude mcp add --transport http gnosem https://gnosem.dev/mcp
Provides persistent, cross-tool memory for AI agents to save, search, and connect context across different sessions and projects.
$claude mcp add --transport http empirical-memory-plugin https://empirical.gauzza.com/mcp
Provides AI assistants with persistent, searchable, and portable long-term memory across different conversations and clients.
$claude mcp add --transport http amber https://mcp.ambermem.com/
Provides AI clients with brain-inspired long-term memory through hybrid retrieval, evolving user profiles, and multimodal data ingestion.
$claude mcp add --transport http zhiji-mcp https://ai-know.me/mcp
Provides a semantic memory infrastructure for AI agents to save decisions, context, and sources with quality-gated writes and conflict tracking.
$claude mcp add --transport http cortex-connector https://skynetlab-cortex-saas-mcp.cortex-320.workers.dev/mcp
Provides a shared remote memory for AI tools to recall and store information across different client applications.
$claude mcp add --transport http tephra-mcp https://tephra.obsidian-metrics.com/mcp
Provides persistent conversational memory, behavioral code search, and automated bug localization for AI coding agents.
$claude mcp add --transport http ml-memory https://api.slashml.ai/mcp